package structural

import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.graphx.{Edge, Graph, VertexId}
import org.apache.spark.rdd.RDD

object subgraphDemo {
  def main(args: Array[String]): Unit = {
    //设置运行环境
    val conf = new SparkConf().setAppName("SimpleGraphX").setMaster("local")
    val sc = new SparkContext(conf)
    sc.setLogLevel("WARN")

    //设置users顶点
    val users: RDD[(VertexId, (String, Int))] =
      sc.parallelize(Array((1L, ("Alice", 28)), (2L, ("Bob", 27)), (3L, ("Charlie", 65)),
                           (4L, ("David", 42)), (5L, ("Ed", 55)), (6L, ("Fran", 50))))

    //设置relationships边
    val relationships: RDD[Edge[Int]] =
      sc.parallelize(Array(Edge(100L, 1L, 7), Edge(2L, 100L, 2), Edge(3L, 2L, 4), Edge(3L, 6L, 3),
                           Edge(4L, 1L, 1),Edge(5L, 2L, 2),Edge(5L, 3L, 8),Edge(5L, 6L, 3)))

    val defaultUser = ("John Doe",0)
    // Build the initial Graph

    val graph = Graph(users, relationships,defaultUser)
    graph.edges.collect.foreach(println(_))
    graph.vertices.collect.foreach(println(_))
    println("*******************************************************************")

    var graph2: Graph[(String, Int), Int] = graph.subgraph(epred = (ep) => !(ep.srcId ==100L || ep.dstId == 100L)
    ,vpred = (id, attr) => id != 3L)
    graph2.edges.collect.foreach(println(_))
    graph2.vertices.collect.foreach(println(_))
  }
}
